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124 results for “composite material”
Raw data for "Are bioplastics and plant-based materials safer than conventional plastics? In vitro toxicity and chemical composition"
<p>This upload contains the raw data files from FTIR analysis (csv format) and the non-target chemical analysis (UPLC-QTOF-MS/MS, positive ionization, MS<sup>E</sup> acquisition, Waters raw format) associated with our publication "Are bioplastics and plant-based materials safer than conventional plastics? In vitro toxicity and chemical composition" published in Environment International (https://doi.org/10.1016/j.envint.2020.106066). You will find all methodological details there.</p>
Determination of complex refractive indices and optical properties of volcanic ashes in the thermal infrared based on generic petrological compositions: supplementary material
<p>This dataset contains supplementary material to the paper "Determination of complex refractive indices and optical properties of volcanic ashes in the thermal infrared based on generic petrological compositions", doi: 10.1016/j.jvolgeores.2021.107174</p> <p>It contains a set of volcanic ash refractive indices and optical properties derived for certain microphysical properties.</p> <p>For more information please consider the manuscript or contact the authors.</p>
Supplementary material 2 from: Grabowska J, Płóciennik M, Grabowski M (2024) Detailed analysis of prey taxonomic composition indicates feeding habitat partitioning amongst co-occurring invasive gobies and native European perch. NeoBiota 92: 1-23. https://doi.org/10.3897/neobiota.92.116033
Relative abundance of prey categories (%N) (number of given prey category in relation to total number of prey) identified in fish guts at sites Z, R, B in the Western Bug River in August 2007
Supplementary material 1 from: Grabowska J, Płóciennik M, Grabowski M (2024) Detailed analysis of prey taxonomic composition indicates feeding habitat partitioning amongst co-occurring invasive gobies and native European perch. NeoBiota 92: 1-23. https://doi.org/10.3897/neobiota.92.116033
Relative abundance of species (%N) in fish assemblages found at sites Z, R, B in the Western Bug River in August 2007 (Penczak et al. 2010)
Data for: Separation of oil vapor by polyether block amide composite membrane modified with porous materials
<p>The ability of membranes to separate oil vapor is affected by their permeance and selectivity. This study modifies polyether block amide (PEBA) composite membranes with a microporous zeolite, Silicalite-1, or a mesoporous zeolite, MCM-41. The results show that when PEBA composite membranes are modified with these zeolites, the selective layer of the composite membrane is coated more thinly, resulting in a higher flux of organic gas. Silicalite-1 increases the hydrophobicity of the membrane, which facilitates the adsorption of organic vapor on the membrane surface, thus improving the membrane selectivity. In the separation of oil vapor, both modified membranes can effectively increase the gas permeabilities and selectivities. The main mechanism governing gas transport in the MCM-41-modified membrane is Knudsen diffusion, so the selectivity for small molecules is improved more significantly. By contrast, the dissolution–diffusion mechanism is dominant in the Silicalite-1-modified membranes, which considerably increases the selectivity for large molecules.</p>
Supplementary material 1 from: Behei N, Tryhubchak O, Pryymak B (2022) Development of amlodipine and enalapril combined tablets based on quality by design and artificial neural network for confirming of qualitative composition. Pharmacia 69(3): 779-789. https://doi.org/10.3897/pharmacia.69.e86876
The results of the study of pharmaco-technological parameters of intermediates and amlodipine tablets with enalapril, data of the functions of desirability
Supplementary material - Label-free multimodal nonlinear optical microscopy reveals hallmarks of bone composition in pathophysiological conditions
<p>The repository features Excel worksheets including all the data used through this work and reported in the manuscript figures and graphs. More precisely, we included the following: </p> <ul> <li>Figure 4. SHG intensity values measured from WT and KO murine spines counterparts, both in parallel and orthogonal light polarization with respect to the craniocaudal axis of the vertebrae.</li> <li>Figure 5A. Quantization of ColIa1 gene expression level after mRNA extraction from WT and Dpp3 KO mice.</li> <li>Figure 5B. Absorbance values at 540 nm after Sirius Red staining of primary osteoblast isolated from WT and Dpp3 KO neonatal calvaria, used to assess and compare the in-vitro collagen production of the two murine models.</li> <li>Figure 7. SRS intensity ratios measured between bone and bone marrow regions of WT and Dpp3 KO models, both at the 2850 cm-1 Raman mode of CH2 stretching in lipids and at the 2920 cm-1 Raman mode of CH3 stretching in proteins.</li> <li>Figure 8. Data of gene expression analysis of selected genes relevant for lipid transport, uptake, and metabolism (i.e., CD 36, Fabp4, Lrp1, Fatp1, PGC1, CPT1, Pex7 and Glut1), in the flushed bone of WT and Dpp3 KO mice.</li> </ul>
Supplementary material 1 from: Uludağ A, Aksoy N, Yazlık A, Arslan ZF, Yazmış E, Üremiş I, Cossu TA, Groom Q, Pergl J, Pyšek P, Brundu G (2017) Alien flora of Turkey: checklist, taxonomic composition and ecological attributes. NeoBiota 35: 61-85. https://doi.org/10.3897/neobiota.35.12460
Alien flora of Turkey: checklist, taxonomic composition and ecological attributes : Explanation note: List of alien taxa in the flora of Turkey. Taxa are ordered alphabetically. Each taxon is listed together with its family, residence time, invasion status, life-form according to Raunkiaer, growth for according to the Thesaurus of Plant Characteristics for Ecology and Evolution, simplified growth-form, life history, reasons for intentional and accidental introduction. The last five columns on the right list habitats where the species is found in Turkey. This list includes also 47 frequently planted taxa.
Supplementary material 3 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Common OTU lists and Statistical analysis : Explanation note: This file contains detected OTUs in both methods and biodiversity analysis (GLM and t-test)
Supplementary material 2 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Biodiversity workflow in R : Explanation note: Bundle of files for biodiversity analysis in R. All necessary input files and a commented script of R-commands are provided.
Supplementary material 4 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Master data sheet : Explanation note: Spreadsheet file containing information about read abundances of operational taxonomic units (OTUs) and sample metadata. Here, data were prepared for subsequent biodiversity analysis in R.
Supplementary material 1 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Bioinformatics pipeline : Explanation note: This file provides all steps and commands necessary for quality filtering and demultiplexing of raw paired fastq sequences.
Structural Health Monitoring via Thermoelastic Stress Analysis with low-cost sensors for the characterization of composite GFRP materials
Open the record for dataset details and reuse information.
Digital Image Correlation for the Structural Helth Monitoring of composite GFRP materials
Open the record for dataset details and reuse information.
Supplementary material 1 from: Rosenfeld S, Marambio J, Ojeda J, Rodríguez JP, González-Wevar C, Gerard K, Contador T, Pizarro G, Mansilla A (2018) Trophic ecology of two coexisting Sub-Antarctic limpets of the genus Nacella: Spatio-temporal variation in food availability and diet composition of Nacella magellanica and N. deaurata in the Sub-Antarctic Ecoregion of Magellan . ZooKeys 738: 1-25. https://doi.org/10.3897/zookeys.738.21175
Tables S1–S11 : Explanation note: This is a DOC file with all the temporal information of the occurrence of the algae taxa in both localities, and all the information of the PERMANOVA analyzes used in this study.
Performance Advancements in P-Type TaFeSb-Based Thermoelectric Materials through Composition and Composite Optimizations
<p>The full data sets for the manuscript "Performance Advancements in P-Type TaFeSb-Based Thermoelectric Materials through Composition and Composite Optimizations" by Naderloo, et al.</p> <p>The paper is published in Energy & Environmental Science: <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4EE04819A">https://doi.org/10.1039/D4EE04819A</a></p>
Dataset for Foundation Model for Composite Materials and Microstructural Analysis
<p>This repository contains datasets generated for the publication <strong>"Foundation Model for Composite Materials and Microstructural Analysis". </strong></p> <p>The datasets are provided to facilitate replication of results, further research, and development in the field of composite materials and machine learning.</p> <h1>Contents:</h1> <ol> <li><strong>downstream_circular_inclusion.zip</strong> <ul> <li> <p>Description: This dataset consists of microstructure images and associated properties for circular inclusion composites used in the downstream tasks of the study.</p> </li> <li> <p>Structure:</p> <ul> <li> <p>train/: Contains training data directories and files.</p> </li> <li>valid/: Contains training data directories and files.</li> <li> <p>descriptors.csv: A CSV file with descriptors and homogenized stiffness components for validation data.</p> </li> </ul> </li> </ul> </li> <li><strong>downstream_short_fiber.zip</strong> <ul> <li> <p>Description: This dataset consists of microstructure images and associated properties for short-fiber composites used in the downstream tasks of the study.</p> </li> <li> <p>Structure:</p> <ul> <li> <p>train/: Contains training data directories and files.</p> </li> <li>valid/: Contains training data directories and files.</li> <li> <p>descriptors.csv: A CSV file with descriptors and homogenized stiffness components for validation data.</p> </li> </ul> </li> </ul> </li> <li><strong>inclusion_train_100k.zip</strong> <ul> <li>Description: This dataset contains 100,000 microstructure images of short-fiber composites used for self-supervised pre-training of the Masked Material Autoencoder (MMAE).</li> <li> <p>Structure:</p> <ul> <li> <p>mesh0dir/, mesh1dir/, ... mesh99999dir/: : Folders containing microstructure images used for pre-training.</p> </li> <li>descriptors.csv: A CSV file with descriptors related to the microstructures.</li> </ul> </li> </ul> </li> </ol>
Influence of the Composition of Temporary Restorative Material in Vital Teeth
ClinicalTrials.gov study NCT03437655. IPD Sharing: NO. Countries: 1. Publications: 9.
The Effects of Dietary Intake of Cod Residual Material Meal on Lipid Regulation, Glucose Regulation and Body Composition in Physically Active Adults
ClinicalTrials.gov study NCT03538834. IPD Sharing: NO. Countries: 1. Publications: 3.
Evaluation of Shade Matching Capacity of a Contemporary Composite Dental Material
ClinicalTrials.gov study NCT04846101. IPD Sharing: YES. Countries: 1. Publications: 5.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.